Ameya Joshi
Research Scientist @ InstaDeep, Boston
AI for scientific discovery, Robust and safe models.
@aoc.bsky.social
Waitress turned Congresswoman for the Bronx and Queens. Grassroots elected, small-dollar supported. A better world is possible. ocasiocortez.com
@srchvrs.bsky.social
Sr. Research Scientist AWS AI Labs (ph-D @LTIatCMU) working on (un)natural language processing, speaking πtorch & C++. Opinions sampled from MY OWN 100T param LM.
@mlsb-borgwardt.bsky.social
Department of #MachineLearning and #SystemsBiology @MPI_Biochem, directed by Karsten Borgwardt
@fabiantheis.bsky.social
Computational biologist @HelmholtzMunich, prof @TU_Muenchen & associate PI @sangerinstitute. Dad of 4 and mountain lover. Department news, see @CompHealthMuc
@benburtenshaw.bsky.social
Building tools for AI datasets. 😽 Looking in AI datasets. 🙀 Sharing clean open AI datasets. 😻 at https://bsky.app/profile/hf.co
@4maciejko.bsky.social
Global Business Strategist & Board Member | Chairman & CEO | Co-founder, INSEAD AI | AI x Business medium.com/@robert_14895 ‘AI News You Missed’ linkedin.com/build-relation/newsletter-follow?entityUrn=7225978947564380160
@vlarin.bsky.social
PhD // decentralized AI/LLM researcher // co-founder, CTO at @fortytwonetwork
@jeroen.vangoey.be
Staff Research Engineer in BioAI at InstaDeep (part of @biontech.bsky.social)- machine learning for personalized cancer vaccines, de novo peptide sequencing and signal peptides. From Belgium 🇧🇪 currently living in Cape Town 🇿🇦 #bioML #TeamMassSpec
@jeffclune.com
Professor, Computer Science, University of British Columbia. CIFAR AI Chair, Vector Institute. Senior Advisor, DeepMind. ML, AI, deep RL, deep learning, AI-Generating Algorithms (AI-GAs), open-endedness.
@ian-goodfellow.bsky.social
Research Scientist at DeepMind. Opinions my own. Inventor of GANs. Lead author of http://www.deeplearningbook.org . Chronically ill: bilateral Ménière’s disease + long COVID. Founding chairman of www.publichealthactionnetwork.org
@orpheuslummis.info
Building software & events for AI safety, collective intelligence, civ resilience – https://orpheuslummis.info – 📍Montréal
@arxiv-cs-cl.bsky.social
Computer Science -- Computation and Language source: export.arxiv.org/rss/cs.CL maintainer: @tmaehara.bsky.social
@arxiv-stat-ml.bsky.social
source: https://arxiv.org/rss/stat.ML maintainer: @tmaehara.bsky.social
@arxiv-soc-ph.bsky.social
New submissions on arXiv physics.soc-ph (physics and society) source: https://arxiv.org/rss/physics.soc-ph maintained by @mchujyo.bsky.social
@arxiv-cs-si.bsky.social
arXiv cs.SI (social and information networks) source: https://export.arxiv.org/rss/cs.SI maintained by @mchujyo.bsky.social
@arxiv-cs-pl.bsky.social
Computer Science -- Programming Languages (cs.PL) source: export.arxiv.org/rss/cs.PL maintainer: @tmaehara.bsky.social
@arxiv-math-st.bsky.social
Mathematics -- Statistics Theory (math.ST) source: https://export.arxiv.org/rss/math.ST maintainer: @tmaehara.bsky.social
@arxiv-econ-th.bsky.social
Economics -- Theoretical Economics (econ.TH) source: https://export.arxiv.org/rss/econ.TH maintainer: @tmaehara.bsky.social
@arxiv-cs-cc.bsky.social
Computer Science -- Computational Complexity (cs.CC) source: https://export.arxiv.org/rss/cs.CC maintainer: @tmaehara.bsky.social
@arxiv-stat-me.bsky.social
Statistics -- Methodology (stat.ME) source: export.arxiv.org/rss/stat.ME maintainer: @tmaehara.bsky.social
@marcelhussing.bsky.social
PhD student at the University of Pennsylvania. Currently, intern at MSR. Interested in reliable and replicable reinforcement learning and using it for knowledge discovery: https://marcelhussing.github.io/ All posts are my own.
@stein.ke
Computer science, math, machine learning, (differential) privacy Researcher at Google DeepMind Kiwi🇳🇿 in California🇺🇸 http://stein.ke/
@aaroth.bsky.social
Professor at Penn, Amazon Scholar at AWS. Interested in machine learning, uncertainty quantification, game theory, privacy, fairness, and most of the intersections therein
@sikatasengupta.bsky.social
cs phd @upenn advised by Michael Kearns, Aaron Roth, and Duncan Watts| previously @stanford | she/her https://psamathe50.github.io/sikatasengupta/
@thesasho.bsky.social
Associate professor at U of Toronto. Computer science and math research: (differentially) private data analysis, geometry, discrepancy, optimization.
@thejonullman.bsky.social
Associate Professor of Computer Science at Northeastern University in Boston. Dad. Imposter.
@optimistsinc.bsky.social
Assistant prof at JHU CS. Interested in theory of ML, privacy, cryptography. All cat pictures my own and do not represent the cats of my employer
@gautamkamath.com
Assistant Prof of CS at the University of Waterloo, Faculty and Canada CIFAR AI Chair at the Vector Institute. Joining NYU Courant in September 2025. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning. http://www.gautamkamath.com
@chanpyb.bsky.social
PhD student at University of Alberta. Interested in reinforcement learning, imitation learning, machine learning theory, and robotics https://chanb.github.io/
@ncollina.bsky.social
Penn CS PhD student and IBM PhD Fellow studying strategic algorithmic interaction. Calibration, commitment, collusion, collaboration. She/her. Nataliecollina.com
@kfountou.bsky.social
Associate Professor at CS UWaterloo Machine Learning Lab: opallab.ca
@claireve.bsky.social
Group Leader in Tübingen, Germany I’m 🇫🇷 and I work on RL and lifelong learning. Mostly posting on ML related topics.
@rachel-law.bsky.social
Organic machine turning tea into theorems ☕️ AI @ Microsoft Research ➡️ Goal: Teach models (and humans) to reason better Let’s connect re: AI for social good, graphs & network dynamics, discrete math, logic 🧩, 🥾,🎨 Organizing for democracy.🗽 www.rlaw.me
@antoine-mln.bsky.social
doing a phd in RL/online learning on questions related to exploration and adaptivity > https://antoine-moulin.github.io/
@timvanerven.nl
Associate professor in machine learning at the University of Amsterdam. Topics: (online) learning theory and the mathematics of interpretable AI. www.timvanerven.nl Theory of Interpretable AI seminar: https://tverven.github.io/tiai-seminar
@kontoyiannis.bsky.social
Information theory, probability, statistics. Churchill Professor of Mathematics of Information @UofCambridge: dpmms.cam.ac.uk/person/ik355/ 🧮 #MathSky 🧪 #Science [used to be @yiannis_entropy at the other place]
@amartyasanyal.bsky.social
Assistant Professor @Dept. Of Computer Science, University of Copenhagen, Ex Postdoc @MPI-IS, ETHZ, PhD @University of Oxford, B.Tech @CSE,IITK.
@bipr.bsky.social
ML & Privacy Prof at the University of Melbourne, Australia. Deputy Dean Research. Prev Microsoft Research, Berkeley EECS PhD. @bipr on the X bird site. He/him.
@gavin-brown.bsky.social
Postdoc at UW CSE. Differential privacy, memorization in ML, and learning theory.
@zstevenwu.bsky.social
Computer science professor at Carnegie Mellon. Researcher in machine learning. Algorithmic foundations of responsible AI (e.g., privacy, uncertainty quantification), interactive learning (e.g., RLHF). https://zstevenwu.com/
@djfoster.bsky.social
Principal Researcher in AI/ML/RL Theory @ Microsoft Research NE/NYC. Previously @ MIT, Cornell. http://dylanfoster.net RL Theory Lecture Notes: https://arxiv.org/abs/2312.16730
@idanattias.bsky.social
Postdoc researcher at IDEAL Institute in Chicago, hosted by UIC and TTIC. My research interests are in machine learning theory, data-driven sequential decision-making, and theoretical computer science. https://www.idanattias.com/
@maosbot.bsky.social
Parent, spouse, Australian, cyclist, Professor of Machine Learning in Oxford. Bayesian ML, Long Covid, photos of dog, AI must be good for humans, https://www.robots.ox.ac.uk/~mosb
@wolvendamien.bsky.social
Read threads Asst. Professor of Philosophy & Data Sci. Degrees in: Science, Technology, & Society; Philosophy; Religious Studies Working on: Algorithms, "AI," Human Knowledge & Values, Marginalized Lived Experiences, Occult Beliefs, Pop Culture He/Him/His
@taylorlorenz.bsky.social
Subscribe to my tech and online culture newsletter UserMag.co Listen/watch Power User podcast on all platforms!!
@tedunderwood.me
Uses machine learning to study literary imagination, and vice-versa. Likely to share news about AI & computational social science / Sozialwissenschaft / 社会科学 Information Sciences and English, UIUC. Author of Distant Horizons (Chicago, 2019). Pluviophile.
@meredithmeredith.bsky.social
President of Signal, Chief Advisor to AI Now Institute
@melaniemitchell.bsky.social
Professor, Santa Fe Institute. Research on AI, cognitive science, and complex systems. Website: https://melaniemitchell.me Substack: https://aiguide.substack.com/
@ruchowdh.bsky.social
www.rummanchowdhury.com www.humane-intelligence.org CEO & co-founder, Humane Intelligence US Science Envoy for AI (Biden Administration)